Google, Microsoft, Intel, IBM, and others join hands to launch a project to secure the data in use

Major tech companies from both cloud and hardware ecosystem partnered together to launch a new project for securing user’s data.

The project named —  Confidential Computing Consortium (CCC) — is initiated under Alibaba, Arm, Baidu, Google Cloud, IBM, Intel, Microsoft, Red Hat, Swisscom, and Tencent.

CCC is a project community that will be hosted at The Linux Foundation aims to bring together developers, vendors, and other experts to promote the use of “confidential computing” to protect data better with new strategies and tools

Confidential computing focuses on securing data in use and enable encrypted data to be processed in memory without exposing it to the rest of the system. In a way, it will reduce exposure for sensitive data and provide greater control and transparency for users.

As a part of launch, Intel, Microsoft, and Red Hat unveil their open source project contributions to the Confidential Computing Consortium:

  • Intel® Software Guard Extensions (Intel® SGX) Software Development Kit is designed to help application developers protect select code and data from disclosure or modification at the hardware layer using protected enclaves.
  • Microsoft Open Enclave SDK, an open-source framework that allows developers to build Trusted Execution Environment (TEE) applications using a single enclaving abstraction. Developers can build applications once that run across multiple TEE architectures.
  • Red Hat Enarx, which provides a platform abstraction for Trusted Execution Environments (TEEs) enabling creating and running “private, fungible, serverless” applications.

The Confidential Computing Consortium will focus specifically on open source licensed implementation work with respect to data-in-use scenarios. The organization will act as a home for such open-source projects to support their growth and success, as well as a place to document and share best practices and discuss new challenges.

Avinash A
Meet Avinash, a tech editor with a Master's in Computer Science and a passion for futuristic tech, AI, and Machine Learning. Known for making complex tech easy to understand, he's a respected voice in leading tech publications and podcasts. When he's not deciphering the latest AI trends, Avinash indulges in building robots and dreaming up the next big tech breakthrough.

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